• The University of Western Australia (M017), 35 Stirling Highway,

    6009 Perth

    Australia

  • 250 Citations
  • 8 h-Index
20142018
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Personal profile

Biography

Dr. Hossein Rahmani is a Research Fellow in the School of Computer Science and Software Engineering (CSSE), the University of Western Australia (UWA), Perth. He obtained his PhD in Computer Vision and Machine Learning from UWA. Hossein has developed machine learning systems and various feature extraction algorithms for RGB-Depth Action Recognition. He has published research papers in high impact factor journals and reputable conferences.

Research

Action Recognition, Event Localization, 3D Computer Vision, Pattern Recognition

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Research Output 2014 2018

  • 250 Citations
  • 8 h-Index
  • 6 Conference paper
  • 5 Article
  • 1 Book
  • 1 Doctoral Thesis

A Guide to Convolutional Neural Networks for Computer Vision

Khan, S., Rahmani, H., Shah, S. A. A. & Bennamoun, M., 2018, Morgan & Claypool Publishers. 207 p. (Synthesis Lectures on Computer Vision; vol. 8, no. 1)

Research output: Book/ReportBook

Computer vision
Neural networks
Image classification
Sports medicine
Network layers

Identity Adaptation for Person Re-identification

Ke, Q., Bennamoun, M., Rahmani, H., An, S., Sohel, F. & Boussaid, F., 30 Aug 2018, In : IEEE Access. 6, p. 48147-48155 8452946

Research output: Contribution to journalArticle

Open Access
Testing
Probability distributions
Identification (control systems)
Entropy
Cameras
14 Citations

Learning a Deep Model for Human Action Recognition from Novel Viewpoints

Rahmani, H., Mian, A. & Shah, M., 1 Mar 2018, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 40, 3, p. 667-681 15 p., 7893732

Research output: Contribution to journalArticle

Action Recognition
Knowledge Transfer
Model
Unknown
Nonlinear Transformation

Three-dimensional scanning for measurement of bulk density in gravelly soils

Scanlan, C. A., Rahmani, H., Bowles, R. & Bennamoun, M., 1 Sep 2018, In : Soil Use and Management. 34, 3, p. 380-387 8 p.

Research output: Contribution to journalArticle

Open Access
gravelly soils
void
casts (medical)
bulk density
Scanning
5 Citations

Learning Action Recognition Model from Depth and Skeleton Videos

Rahmani, H. & Bennamoun, M., 22 Dec 2017, Proceedings of the 2017 IEEE International Conference on Computer Vision, ICCV 2017. IEEE, Institute of Electrical and Electronics Engineers, Vol. 2017-October, p. 5833-5842 10 p. 8237883

Research output: Chapter in Book/Conference paperConference paper

Sensors